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                <text>Santoshi Kumari, Pallavi Rai, P D Subeen</text>
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                <text>India and many other countries are facing the challenge and threat posed by the growing pandemic of COVID-19. Patients with chronic conditions such as heart failure (HF) are at greater risk of getting the infection. Since the HF patients are at greater risk and hospital outpatient department facilities have also stopped temporarily, patients need to be prepared for self-care for HF. The objective of this article is to integrate practices and recommendations for self-care, in order to maintain well-being and prevent patients from getting infected. HF patients are encouraged to practice preventive and protective measures to limit the risk of COVID-19. HF nurses should focus on self-care education teaching also about medications, personal and environmental hygiene, mask management, social and personal distancing, psychosocial aspect, and diet in HF. All the patients are advised and encouraged to use teleconferencing, virtual, and other means of electronic communications to avoid direct contacts with others. All HF patients should be advised to stay at home and follow the government advisories.</text>
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                <text>Kajian Kriminologis Perbandingan Kejahatan Yang Terjadi Sebelum Pandemi Dan Saat Pandemi Covid-19</text>
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                <text>Sigit Somadiyono</text>
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                <text>Coronavirus Disease (Covid-19) bukan saja memukul ekonomi bangsa namun juga menibulkan efek domino terhadap kejahatan yang naik pada saat pandemic. Tujuan penulisan ini untuk menemukan faktor yang mempengaruhi terjadinya kejahatan selama pandemi. Metode yuridis empiris, Teori Kriminologi dalam tulisan ini membantu mengambarkan faktor apa yang menjadi faktor dominan yang mengakibatkan naiknya kejahatan pada saat awal pandemi Covid-19 muncul di Indonesia, dari hasil penelitian disimpulkan ada beberapa faktor yang mempengaruhi seperti keluarga, ekonomi, dan kepribadian atau kejiwaan seseorang, semua ini karena pukulan atau efek dari Pandemi Covid1-19 diluar sektor kesahatan.</text>
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                <text>Criminal Law Department, Faculty of Law, Pattimura University</text>
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                <text>Pandemi Covid-19 yang melanda dunia sejak akhir tahun 2019 telah menimbulkan keresahan dan kerugian yang tinggi bagi masyarakat dunia termasuk Indonesia. Vaksin dan obat yang sampai saat ini belum tersedia secara luas membuat masyarakat harus menjaga daya tahan tubuh atau imunitas dengan baik. Salah satu cara menjaga imunitas adalah dengan mengkonsumsi obat tradisional secara tepat. Obat tradisional menjadi alternatif yang baik untuk menjaga imunitas karena khasiatnya telah terbukti secara turun-temurun, dan mempunyai efek samping minimal apabila digunakan secara tepat. Maka dari itu, kegiatan ini bertujuan untuk memberi pengetahuan kepada mayarakat dalam meningkatkan kekebalan tubuh dengan mengkonsumsi jamu secara tepat. Kegiatan dilaksanakan dengan media poster dan modul yang diberikan kepada kelompok masyarakat yang masih berkegiatan di luar rumah selama masa normal baru dan memiliki kesempatan berinteraksi dengan orang lain seperti tukang parkir, pedagang keliling dan pedagang warung nasi di wilayah Surabaya Timur. Setelah mendapat penyuluhan dengan menggunakan media tersebut, sebanyak 30 responden kegiatan ini mendapat peningkatan pengetahuan mengenai jenis obat tradisional, cara pembuatan dan cara mengkonsumsinya untuk meningkatkan imunitas. Kesimpulan kegiatan ini, masyarakat mendapat pengetahuan dan dapat mengaplikasikan pengetahuan mengenai obat tradisional untuk menjaga imunitas untuk diri sendiri dan keluarga. Metode pemberian materi melalui poster dan brosur dapat diterima dengan baik dan memotivasi untuk menjaga imunitas dengan obat tradisional di era normal baru</text>
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                <text>imunitas, obat tradisional, normal baru</text>
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                <text>A cluster of pneumonia cases were reported to World Health Organization (WHO) on 31st December, 2019 from the city of Wuhan, China which were later identified to be caused by a novel coronavirus, named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak spread globally and on 11th March 2020, WHO declared COVID-19 as a pandemic. There have been continuous efforts to optimize methods to screen and diagnose large proportion of coronavirus affected population. COVID-19 diagnostic approaches include real-time reverse transcription-PCR (RT-PCR) and serological diagnosis.</text>
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                <text>Journal of the Dow University of Health Sciences</text>
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                <text>Dow University of Health Sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Psychological Distress and Problem Gambling in Elite Athletes during COVID-19 Restrictions—A Web Survey in Top Leagues of Three Sports during the Pandemic</text>
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                <text>Göran Kenttä, Anders Håkansson, Caroline Jönsson</text>
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                <text>COVID-19 and lockdown strategies may affect mental health and addictive behavior differently in the population, and elite athletes are among the professions clearly affected by the pandemic. This study in top elite athletes aimed to study current perceived psychological influence from COVID-19 and symptoms of depression, anxiety and changes in alcohol drinking, gambling behavior and problem gambling in the midst of the COVID-19 lockdown. This web survey included athletes in top leagues of soccer, ice hockey and handball in Sweden (N = 327, 62% men). A total of 66% and 51% were worried about the future of their sport or about their own future in sports, respectively. Feeling worse psychologically during the pandemic was common (72% of women, 40% of men, p &lt; 0.001); depression criteria were endorsed by 19% of women and three percent of men (p &lt; 0.001); anxiety criteria by 20% of women and five percent of men (p &lt; 0.001). Reporting increased gambling during the pandemic was associated with gambling problem severity. Moderate-risk or problem gambling was seen in 10% of men and none of the women (p &lt; 0.001). Depression and anxiety were associated with feeling worse during the COVID-19 pandemic and with concern over one’s own sports future. In conclusion, COVID-19-related distress is common in elite athletes and associated with mental health symptoms. Gambling increase during the pandemic was rare, but related to gambling problems, which were common in male athletes. The calls for increased focus on COVID-19-related concerns in athletes and on problem gambling in male athletes.</text>
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                <text>2020</text>
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                <text>Korean Society of Epidemiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A COVID-19 Patient Presenting with Pneumothorax</text>
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                <text>Seyyedeh Narjes Abootalebi, Eslam Shorafa, Alireza Abbaspour, Seyed Sina Dehghani, Mehdi Forooghi</text>
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                <text>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus that has affected millions of individuals across the world. It was officially declared as a pandemic on March 11, 2020. Although most patients with COVID-19 manifest as viral pneumonia characterized by symptoms such as fever, dyspnea, and cough, atypical presentations such as acute respiratory distress syndrome (ARDS) and acute kidney or cardiac injury have been reported amongst COVID-19 patients. Bilateral and peripheral ground-glass and opacities are the hallmarks of COVID-19 infection on imaging exams. Herein, we aim to describe a COVID-19 patient who presented with shortness of breath, neck pain, chest pain, and bilateral pneumothorax in his imaging exam.</text>
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                <text>2021</text>
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                <text>10.1155/2021/6652819</text>
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                <text>Case Reports in Infectious Diseases</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Hindawi Limited</text>
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                <text>Infectious and parasitic diseases</text>
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              <name>Title</name>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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                <text>How to Correctly Detect Face-Masks for COVID-19 from Visual Information?</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Vitomir Štruc, Peter Peer, Borut Batagelj, Simon Dobrišek</text>
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            <description>An account of the resource</description>
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                <text>The new Coronavirus disease (COVID-19) has seriously affected the world. By the end of November 2020, the global number of new coronavirus cases had already exceeded 60 million and the number of deaths 1,410,378 according to information from the World Health Organization (WHO). To limit the spread of the disease, mandatory face-mask rules are now becoming common in public settings around the world. Additionally, many public service providers require customers to wear face-masks in accordance with predefined rules (e.g., covering both mouth and nose) when using public services. These developments inspired research into automatic (computer-vision-based) techniques for face-mask detection that can help monitor public behavior and contribute towards constraining the COVID-19 pandemic. Although existing research in this area resulted in efficient techniques for face-mask detection, these usually operate under the assumption that modern face detectors provide perfect detection performance (even for masked faces) and that the main goal of the techniques is to detect the presence of face-masks only. In this study, we revisit these common assumptions and explore the following research questions: (i) How well do existing face detectors perform with masked-face images? (ii) Is it possible to detect a proper (regulation-compliant) placement of facial masks? and (iii) How useful are existing face-mask detection techniques for monitoring applications during the COVID-19 pandemic? To answer these and related questions we conduct a comprehensive experimental evaluation of several recent face detectors for their performance with masked-face images. Furthermore, we investigate the usefulness of multiple off-the-shelf deep-learning models for recognizing correct face-mask placement. Finally, we design a complete pipeline for recognizing whether face-masks are worn correctly or not and compare the performance of the pipeline with standard face-mask detection models from the literature. To facilitate the study, we compile a large dataset of facial images from the publicly available MAFA and Wider Face datasets and annotate it with compliant and non-compliant labels. The annotation dataset, called Face-Mask-Label Dataset (FMLD), is made publicly available to the research community.</text>
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                <text>2021</text>
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                <text>covid-19, masked-face detection, face-mask classification, face-mask recognition, COVID-19 compliant mask detection</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.3390/app11052070</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Biology (General), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Population-Based Serosurvey for Severe Acute Respiratory Syndrome Coronavirus 2 Transmission, Chennai, India</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Sriram Selvaraju, Muthusamy Santhosh Kumar, Jeromie Wesley Vivian Thangaraj, Tarun Bhatnagar, Velusamy Saravanakumar, Chethrapilly Purushothaman Girish Kumar, Krithikaa Sekar, Ezhilarasan Ilayaperumal, Ramasamy Sabarinathan, Murugesan Jagadeesan, Masanam Sriramulu Hemalatha, Manoj Vasant Murhekar</text>
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                <text>We conducted a cross-sectional survey to estimate the seroprevalence of IgG  against severe acute respiratory syndrome coronavirus 2  in Chennai, India. Among 12,405 serum samples tested, weighted seroprevalence was 18.4% (95% CI 14.8%–22.6%). These findings indicate most of the population of Chennai is still susceptible to this virus.</text>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="41352">
                <text>SARS, Respiratory Infections, covid-19, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, coronavirus disease</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="41353">
                <text>10.3201/eid2702.203938</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="41354">
                <text>Emerging Infectious Diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="41355">
                <text>Centers for Disease Control and Prevention</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="41356">
                <text>Medicine, Infectious and parasitic diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
